Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things

Syed Ali Raza Zaidi, Maryam Hafeez, Des McLernon, Moe Z. Win

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article, we develop a comprehensive framework to characterize the coverage probability of backscatter communication empowered cellular Internet-of-Things (IoT) sensor networks (SNs). The developed framework considers hierarchical cellular type deployment topology which is practically useful for various IoT applications. In contrast to existing studies, the framework is geared towards system level performance analysis. Our analysis explicitly considers the dyadic fading experienced by the links and spatial randomness of the network nodes. To ensure tractability of analysis, we develop novel closed-form bounds for quantifying the coverage probability of SNs. The developed framework is corroborated using Monte Carlo simulations. Lastly, we also demonstrate the impact of various underlying parameters and highlight the utility of the derived expressions for network dimensioning.

Original languageEnglish
Title of host publicationProceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)
PublisherIEEE
Number of pages5
ISBN (Electronic)9789082797039, 9789082797022
ISBN (Print)9781538673003
DOIs
Publication statusPublished - 18 Nov 2019
Event27th European Signal Processing Conference - A Coruna, Spain
Duration: 2 Sep 20196 Sep 2019
Conference number: 27

Publication series

NameEuropean Signal Processing Conference
PublisherIEEE
Volume2019-September
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

Conference27th European Signal Processing Conference
Abbreviated titleEUSIPCO 2019
CountrySpain
CityA Coruna
Period2/09/196/09/19

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  • Cite this

    Zaidi, S. A. R., Hafeez, M., McLernon, D., & Win, M. Z. (2019). Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things. In Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019) [8902543] (European Signal Processing Conference; Vol. 2019-September). IEEE. https://doi.org/10.23919/EUSIPCO.2019.8902543